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Changes in multimodality functional imaging parameters early during chemoradiation predict treatment response in patients with locally advanced head and neck cancer
Authors:Kee?H.?Wong  author-information"  >  author-information__contact u-icon-before"  >  mailto:kee.wong@icr.ac.uk"   title="  kee.wong@icr.ac.uk"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Rafal?Panek,Alex?Dunlop,Dualta?Mcquaid,Angela?Riddell,Liam?C.?Welsh,Iain?Murray,Dow-Mu?Koh,Martin?O.?Leach,Shreerang?A.?Bhide,Christopher?M.?Nutting,Wim?J.?Oyen,Kevin?J.?Harrington,Kate?L.?Newbold
Affiliation:1.Head and Neck Unit,The Royal Marsden NHS Foundation Trust,Sutton,UK;2.Radiotherapy and Imaging Division,The Institute of Cancer Research,London,UK;3.Clinical Radiology,The Royal Marsden NHS Foundation Trust,Sutton,UK;4.Nuclear Medicine,The Royal Marsden NHS Foundation Trust,Sutton,UK;5.CRUK Cancer Imaging Centre,The Institute of Cancer Research and the Royal Marsden NHS Foundation Trust,London,UK
Abstract:

Objective

To assess the optimal timing and predictive value of early intra-treatment changes in multimodality functional and molecular imaging (FMI) parameters as biomarkers for clinical remission in patients receiving chemoradiation for head and neck squamous cell carcinoma (HNSCC).

Methods

Thirty-five patients with stage III-IVb (AJCC 7th edition) HNSCC prospectively underwent 18F–FDG-PET/CT, and diffusion-weighted (DW), dynamic contrast-enhanced (DCE) and susceptibility-weighted MRI at baseline, week 1 and week 2 of chemoradiation. Patients with evidence of persistent or recurrent disease during follow-up were classed as non-responders. Changes in FMI parameters at week 1 and week 2 were compared between responders and non-responders with the Mann–Whitney U test. The significance threshold was set at a p value of <0.05.

Results

There were 27 responders and 8 non-responders. Responders showed a greater reduction in PET-derived tumor total lesion glycolysis (TLG40%; p?=?0.007) and maximum standardized uptake value (SUVmax; p?=?0.034) after week 1 than non-responders but these differences were absent by week 2. In contrast, it was not until week 2 that MRI-derived parameters were able to discriminate between the two groups: larger fractional increases in primary tumor apparent diffusion coefficient (ADC; p?trans; p?=?0.012) and interstitial space volume fraction (Ve; p?=?0.047) were observed in responders versus non-responders. ADC was the most powerful predictor (? >17%, AUC 0.937).

Conclusion

Early intra-treatment changes in FDG-PET, DW and DCE MRI-derived parameters are predictive of ultimate response to chemoradiation in HNSCC. However, the optimal timing for assessment with FDG-PET parameters (week 1) differed from MRI parameters (week 2). This highlighted the importance of scanning time points for the design of FMI risk-stratified interventional studies.
Keywords:
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